Accurate modeling of electrical machine impedances is crucial for designing control systems, fault diagnosis, and performance optimization in power generation and industrial drives. Our Frequency Domain Identification Toolbox enables precise impedance characterization across wide frequency ranges with minimal experimental effort.
In this case study, we identify the dynamic behavior of a flexible robot arm by characterizing the relationship between applied torque and resulting acceleration, capturing multiple resonance modes, determining optimal model order for control system design, and accounting for actuator limitations at resonance frequencies.
In this case study, we investigate noise propagation properties in an aircraft cabin by measuring the transfer function between a loudspeaker and a microphone. This includes capturing full system dynamics with DAC conversion effects, addressing physical delays and identifying models from frequency domain measurements
